code: def action_modalities(hparams):
      """Modalities with actions."""
      hparams.problem_hparams.modality = {
          "inputs": modalities.ModalityType.VIDEO_L2_RAW,
          "input_action": modalities.ModalityType.SYMBOL,
          "targets": modalities.ModalityType.VIDEO_L2_RAW,
          "target_action": modalities.ModalityType.SYMBOL,
      }
      hparams.problem_hparams.vocab_size = {
          "inputs": 256,
          "input_action": 5,
          "targets": 256,
          "target_action": 5,
      }
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators import video_generated
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 2 for calling a global function with example usage: action_modalities(hparams) and returns: hparams